Faculty of engineering students' success analysis with clustering methods. - Ahmet Saygili; Songul Albayrak (SIU, 2013)

Comparative analysis of codeword representation by clustering methods for the classification of histological tissue types. - Ahmet Saygili; Gunalp Uysal; Gokhan Bilgin (ICMV, 2015)

Automatic detection of meniscal area in the knee MR images. - Ahmet Saygili; Heysem Kaya; Songul Albayrak (SIU, 2016)

Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method. - Ahmet Saygili; Songul Albayrak (SIU, 2017)

MR görüntülerinde menisküslerin segmentasyonu ve menisküs yırtıklarının tespiti (Meniscus segmentation and detection of meniscus tears in MR images) - Ahmet Saygili (2017)

Meniscus tear classification using histogram of oriented gradients in knee MR images. - Ahmet Saygili; Songul Albayrak (SIU, 2018)

An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images. - Ahmet Saygili; Songül Albayrak (Artif. Intell. Medicine, 2019)

A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods. - Ahmet Saygili (Appl. Soft Comput., 2021)

AI-aided cardiovascular disease diagnosis in cattle from retinal images: Machine learning vs. deep learning models. - Pinar Cihan; Ahmet Saygili; Celal Sahin Ermutlu; Ugur Aydin; Özgür Aksoy (Comput. Electron. Agric., 2024)

CattNIS: Novel identification system of cattle with retinal images based on feature matching method. - Ahmet Saygili; Pinar Cihan; Celal Sahin Ermutlu; Ugur Aydin; Özgür Aksoy (Comput. Electron. Agric., 2024)

A new approach for automatic classification of non-Hodgkin lymphoma using deep learning and classical learning methods on histopathological images. - Emine Özgür; Ahmet Saygili (Neural Comput. Appl., 2024)

Performance of machine learning methods for cattle identification and recognition from retinal images. - Pinar Cihan; Ahmet Saygili; Muhammed Akyüzlü; Nihat Eren Özmen; Celal Sahin Ermutlu; Ugur Aydin; Alican Yilmaz; Özgür Aksoy (Appl. Intell., 2025)

Deep learning-based histopathological classification of breast tumors: a multi-magnification approach with state-of-the-art models. - Gizem Irmak; Ahmet Saygili (Signal Image Video Process., 2025)